Triple

T29820501
Position Surface form Disambiguated ID Type / Status
Subject Edwin Paxton Hood E757230 entity
Predicate notableWork P4 FINISHED
Object The Dark River
"The Dark River" is a lesser-known 19th-century work by English author and Congregational minister Edwin Paxton Hood, reflecting his characteristic moral and religious themes.
 E1888032 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Dark River | Statement: [Edwin Paxton Hood, notableWork, The Dark River]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Dark River
Triple: [Edwin Paxton Hood, notableWork, The Dark River]
Generated description
"The Dark River" is a lesser-known 19th-century work by English author and Congregational minister Edwin Paxton Hood, reflecting his characteristic moral and religious themes.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f2245701c88190ad42415a0956c4ed completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f675675250819089db3b30f1f05f87 completed May 2, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5f9d8948190b7fdb1f8fe6ef128 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e7d464848190a01f819d89272d92 completed June 8, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a26ebc90ef8819093125e65021e4169 completed June 8, 2026, 4:20 p.m.
Created at: April 29, 2026, 5:29 p.m.